Minimax D-optimal designs for the logistic model

Biometrics

Volumn 56, Issue 4, 2000, Pages 1263-1267

  King, J ^a   Wong, W K ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Approximate designs; Computer algorithm; D optimality; Efficiency; Information matrix; Power logistic model

Indexed keywords

OPTIMAL SYSTEMS; OPTIMIZATION;

APPROXIMATE DESIGN; D-OPTIMAL DESIGNS; D-OPTIMALITY; INFORMATION MATRIX; LOGISTICS MODEL; MINIMAX; POWER; POWER LOGISTIC MODEL; PROPERTY; RANGE OF THE VALUES;

DISEASES;

ALGORITHM; DOSE RESPONSE; HUMAN; REVIEW; RHEUMATOID ARTHRITIS; STATISTICAL ANALYSIS; STATISTICAL MODEL;

EID: 0033635020     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2000.01263.x     Document Type: Review

References (14)

1. Planning a quantal assay of potency
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5. Convex design theory
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7. Optimal designs for bivariate logistic regression
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9. Robust designs for binary data
10. Limiting dilution assays: Experimental design and statistical analysis
11. A unified approach to the construction of minimax designs
12. Dual objective Bayesian optimal designs for a dose-ranging study using ACR responder index